One‐sample optimal output smoothing method for wind farm with energy storage system | Zendy

Koiwa Kenta | Zendy; Ishii Tomoya | Zendy; Liu KangZhi | Zendy; Zanma Tadanao | Zendy; Tamura Junji | Zendy

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One‐sample optimal output smoothing method for wind farm with energy storage system

Author(s) -

Koiwa Kenta,

Ishii Tomoya,

Liu KangZhi,

Zanma Tadanao,

Tamura Junji

Publication year - 2021

Publication title -

iet renewable power generation

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.005

H-Index - 76

eISSN - 1752-1424

pISSN - 1752-1416

DOI - 10.1049/rpg2.12052

Subject(s) - smoothing , wind power , sample (material) , energy storage , computer science , energy (signal processing) , mathematical optimization , environmental science , control theory (sociology) , mathematics , statistics , engineering , electrical engineering , physics , artificial intelligence , power (physics) , thermodynamics , control (management)

This paper proposes a novel optimization method for energy storage systems (ESSs) to smooth wind farm output to satisfy the technical requirements and reduce the rated power (rated energy capacity) and charge/discharge loss of the ESS. The state of charge of the ESS operated by the proposed method can be regulated, guaranteeing some constraints. The proposed method has a very simple structure, does not require the wind farm output forecast and numerical optimization, such as particle swarm optimization. Therefore, a high‐grade functional computation device is not needed. The effectiveness of the proposed method is verified by comparative analysis with conventional approaches through simulations.

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